Self-sensing control of the externally-excited synchronous machine for electric vehicle traction application

Authors: Mohamad Koteich, Amir Messali, Simon Daurelle

Conference: 2017 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED), Catania, Italy.

DOI: 10.1109/SLED.2017.8078436

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Abstract: This paper studies the possibility of removing the position sensor from electric vehicles (EVs) powertrains that employ the externally-excited synchronous machine (EESM) for traction. Three position estimation approaches are studied: back-electromotive-force integration, state-observer and high-frequency voltage injection approaches. Theoretical background is presented, a comparative performance analysis is performed, and experimental results on a 65-kW EESM drive test bench are shown. Some requirements for EV powertrains are emphasized.

Flux estimation algorithms for electric drives: a comparative study

Author: Mohamad Koteich

Conference: REDEC – International Conference on Renewable Energies for Developing countries, July 2016, Lebanon.

DOI: 10.1109/REDEC.2016.7577558

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Abstract: This paper reviews the stator flux estimation algorithms applied to the alternating current motor drives. The socalled voltage model estimation, which consists of integrating the back-electromotive force signal, is addressed. However, in practice, the pure integration is prone to drift problems due to noises, measurement error, stator resistance uncertainty and unknown initial conditions. This limitation becomes more restrictive at low speed operation. Several solutions, reported in the literature, are reviewed and compared. Emphasis is placed on the low-pass filter based algorithms that show good performance in steady-state as well as in transient operating conditions.